RGB Depth alignment¶

This example shows usage of RGB depth alignment. Since OAK-D has a color and a pair of stereo cameras, you can align depth map to the color frame on top of that to get RGB depth.

In this example, rgb and depth aren’t perfectly in sync. For that, you would need to add Software syncing, which has been added to the demo here, where RGB and depth frames have sub-ms delay.

By default, the depth map will get scaled to match the resolution of the camera sensor we want to align to. In other words, if depth is aligned to the 1080P color sensor, StereoDepth will upscale depth to 1080P as well. Depth scaling can be avoided by configuring StereoDepth’s stereo.setOutputSize(width, height).

To align depth with higher resolution color stream (eg. 12MP), you need to limit the resolution of the depth map. You can do that with stereo.setOutputSize(w,h). Code example here.

Demo¶

https://user-images.githubusercontent.com/18037362/151351377-a5752fbe-3b8b-4985-b8d1-d5f8a7d5a868.png

Setup¶

Please run the install script to download all required dependencies. Please note that this script must be ran from git context, so you have to download the depthai-python repository first and then run the script

git clone https://github.com/luxonis/depthai-python.git
cd depthai-python/examples
python3 install_requirements.py

For additional information, please follow installation guide

Source code¶

Python

C++

Also available on GitHub

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#!/usr/bin/env python3

import cv2
import numpy as np
import depthai as dai

# Weights to use when blending depth/rgb image (should equal 1.0)
rgbWeight = 0.4
depthWeight = 0.6


def updateBlendWeights(percent_rgb):
    """
    Update the rgb and depth weights used to blend depth/rgb image

    @param[in] percent_rgb The rgb weight expressed as a percentage (0..100)
    """
    global depthWeight
    global rgbWeight
    rgbWeight = float(percent_rgb)/100.0
    depthWeight = 1.0 - rgbWeight


# Optional. If set (True), the ColorCamera is downscaled from 1080p to 720p.
# Otherwise (False), the aligned depth is automatically upscaled to 1080p
downscaleColor = True
fps = 30
# The disparity is computed at this resolution, then upscaled to RGB resolution
monoResolution = dai.MonoCameraProperties.SensorResolution.THE_720_P

# Create pipeline
pipeline = dai.Pipeline()
device = dai.Device()
queueNames = []

# Define sources and outputs
camRgb = pipeline.create(dai.node.ColorCamera)
left = pipeline.create(dai.node.MonoCamera)
right = pipeline.create(dai.node.MonoCamera)
stereo = pipeline.create(dai.node.StereoDepth)

rgbOut = pipeline.create(dai.node.XLinkOut)
disparityOut = pipeline.create(dai.node.XLinkOut)

rgbOut.setStreamName("rgb")
queueNames.append("rgb")
disparityOut.setStreamName("disp")
queueNames.append("disp")

#Properties
camRgb.setBoardSocket(dai.CameraBoardSocket.CAM_A)
camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
camRgb.setFps(fps)
if downscaleColor: camRgb.setIspScale(2, 3)
# For now, RGB needs fixed focus to properly align with depth.
# This value was used during calibration
try:
    calibData = device.readCalibration2()
    lensPosition = calibData.getLensPosition(dai.CameraBoardSocket.CAM_A)
    if lensPosition:
        camRgb.initialControl.setManualFocus(lensPosition)
except:
    raise
left.setResolution(monoResolution)
left.setCamera("left")
left.setFps(fps)
right.setResolution(monoResolution)
right.setCamera("right")
right.setFps(fps)

stereo.setDefaultProfilePreset(dai.node.StereoDepth.PresetMode.HIGH_DENSITY)
# LR-check is required for depth alignment
stereo.setLeftRightCheck(True)
stereo.setDepthAlign(dai.CameraBoardSocket.CAM_A)

# Linking
camRgb.isp.link(rgbOut.input)
left.out.link(stereo.left)
right.out.link(stereo.right)
stereo.disparity.link(disparityOut.input)

# Connect to device and start pipeline
with device:
    device.startPipeline(pipeline)

    frameRgb = None
    frameDisp = None

    # Configure windows; trackbar adjusts blending ratio of rgb/depth
    rgbWindowName = "rgb"
    depthWindowName = "depth"
    blendedWindowName = "rgb-depth"
    cv2.namedWindow(rgbWindowName)
    cv2.namedWindow(depthWindowName)
    cv2.namedWindow(blendedWindowName)
    cv2.createTrackbar('RGB Weight %', blendedWindowName, int(rgbWeight*100), 100, updateBlendWeights)

    while True:
        latestPacket = {}
        latestPacket["rgb"] = None
        latestPacket["disp"] = None

        queueEvents = device.getQueueEvents(("rgb", "disp"))
        for queueName in queueEvents:
            packets = device.getOutputQueue(queueName).tryGetAll()
            if len(packets) > 0:
                latestPacket[queueName] = packets[-1]

        if latestPacket["rgb"] is not None:
            frameRgb = latestPacket["rgb"].getCvFrame()
            cv2.imshow(rgbWindowName, frameRgb)

        if latestPacket["disp"] is not None:
            frameDisp = latestPacket["disp"].getFrame()
            maxDisparity = stereo.initialConfig.getMaxDisparity()
            # Optional, extend range 0..95 -> 0..255, for a better visualisation
            if 1: frameDisp = (frameDisp * 255. / maxDisparity).astype(np.uint8)
            # Optional, apply false colorization
            if 1: frameDisp = cv2.applyColorMap(frameDisp, cv2.COLORMAP_HOT)
            frameDisp = np.ascontiguousarray(frameDisp)
            cv2.imshow(depthWindowName, frameDisp)

        # Blend when both received
        if frameRgb is not None and frameDisp is not None:
            # Need to have both frames in BGR format before blending
            if len(frameDisp.shape) < 3:
                frameDisp = cv2.cvtColor(frameDisp, cv2.COLOR_GRAY2BGR)
            blended = cv2.addWeighted(frameRgb, rgbWeight, frameDisp, depthWeight, 0)
            cv2.imshow(blendedWindowName, blended)
            frameRgb = None
            frameDisp = None

        if cv2.waitKey(1) == ord('q'):
            break

Also available on GitHub

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#include <cstdio>
#include <iostream>

#include "utility.hpp"

// Includes common necessary includes for development using depthai library
#include "depthai/depthai.hpp"

// Optional. If set (true), the ColorCamera is downscaled from 1080p to 720p.
// Otherwise (false), the aligned depth is automatically upscaled to 1080p
static std::atomic<bool> downscaleColor{true};
static constexpr int fps = 30;
// The disparity is computed at this resolution, then upscaled to RGB resolution
static constexpr auto monoRes = dai::MonoCameraProperties::SensorResolution::THE_720_P;

static float rgbWeight = 0.4f;
static float depthWeight = 0.6f;

static void updateBlendWeights(int percentRgb, void* ctx) {
    rgbWeight = float(percentRgb) / 100.f;
    depthWeight = 1.f - rgbWeight;
}

int main() {
    using namespace std;

    // Create pipeline
    dai::Pipeline pipeline;
    dai::Device device;
    std::vector<std::string> queueNames;

    // Define sources and outputs
    auto camRgb = pipeline.create<dai::node::ColorCamera>();
    auto left = pipeline.create<dai::node::MonoCamera>();
    auto right = pipeline.create<dai::node::MonoCamera>();
    auto stereo = pipeline.create<dai::node::StereoDepth>();

    auto rgbOut = pipeline.create<dai::node::XLinkOut>();
    auto depthOut = pipeline.create<dai::node::XLinkOut>();

    rgbOut->setStreamName("rgb");
    queueNames.push_back("rgb");
    depthOut->setStreamName("depth");
    queueNames.push_back("depth");

    // Properties
    camRgb->setBoardSocket(dai::CameraBoardSocket::CAM_A);
    camRgb->setResolution(dai::ColorCameraProperties::SensorResolution::THE_1080_P);
    camRgb->setFps(fps);
    if(downscaleColor) camRgb->setIspScale(2, 3);
    // For now, RGB needs fixed focus to properly align with depth.
    // This value was used during calibration
    try {
        auto calibData = device.readCalibration2();
        auto lensPosition = calibData.getLensPosition(dai::CameraBoardSocket::CAM_A);
        if(lensPosition) {
            camRgb->initialControl.setManualFocus(lensPosition);
        }
    } catch(const std::exception& ex) {
        std::cout << ex.what() << std::endl;
        return 1;
    }

    left->setResolution(monoRes);
    left->setCamera("left");
    left->setFps(fps);
    right->setResolution(monoRes);
    right->setCamera("right");
    right->setFps(fps);

    stereo->setDefaultProfilePreset(dai::node::StereoDepth::PresetMode::HIGH_DENSITY);
    // LR-check is required for depth alignment
    stereo->setLeftRightCheck(true);
    stereo->setDepthAlign(dai::CameraBoardSocket::CAM_A);

    // Linking
    camRgb->isp.link(rgbOut->input);
    left->out.link(stereo->left);
    right->out.link(stereo->right);
    stereo->disparity.link(depthOut->input);

    // Connect to device and start pipeline
    device.startPipeline(pipeline);

    // Sets queues size and behavior
    for(const auto& name : queueNames) {
        device.getOutputQueue(name, 4, false);
    }

    std::unordered_map<std::string, cv::Mat> frame;

    auto rgbWindowName = "rgb";
    auto depthWindowName = "depth";
    auto blendedWindowName = "rgb-depth";
    cv::namedWindow(rgbWindowName);
    cv::namedWindow(depthWindowName);
    cv::namedWindow(blendedWindowName);
    int defaultValue = (int)(rgbWeight * 100);
    cv::createTrackbar("RGB Weight %", blendedWindowName, &defaultValue, 100, updateBlendWeights);

    while(true) {
        std::unordered_map<std::string, std::shared_ptr<dai::ImgFrame>> latestPacket;

        auto queueEvents = device.getQueueEvents(queueNames);
        for(const auto& name : queueEvents) {
            auto packets = device.getOutputQueue(name)->tryGetAll<dai::ImgFrame>();
            auto count = packets.size();
            if(count > 0) {
                latestPacket[name] = packets[count - 1];
            }
        }

        for(const auto& name : queueNames) {
            if(latestPacket.find(name) != latestPacket.end()) {
                if(name == depthWindowName) {
                    frame[name] = latestPacket[name]->getFrame();
                    auto maxDisparity = stereo->initialConfig.getMaxDisparity();
                    // Optional, extend range 0..95 -> 0..255, for a better visualisation
                    if(1) frame[name].convertTo(frame[name], CV_8UC1, 255. / maxDisparity);
                    // Optional, apply false colorization
                    if(1) cv::applyColorMap(frame[name], frame[name], cv::COLORMAP_HOT);
                } else {
                    frame[name] = latestPacket[name]->getCvFrame();
                }

                cv::imshow(name, frame[name]);
            }
        }

        // Blend when both received
        if(frame.find(rgbWindowName) != frame.end() && frame.find(depthWindowName) != frame.end()) {
            // Need to have both frames in BGR format before blending
            if(frame[depthWindowName].channels() < 3) {
                cv::cvtColor(frame[depthWindowName], frame[depthWindowName], cv::COLOR_GRAY2BGR);
            }
            cv::Mat blended;
            cv::addWeighted(frame[rgbWindowName], rgbWeight, frame[depthWindowName], depthWeight, 0, blended);
            cv::imshow(blendedWindowName, blended);
            frame.clear();
        }

        int key = cv::waitKey(1);
        if(key == 'q' || key == 'Q') {
            return 0;
        }
    }
    return 0;
}

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